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# Copyright (c) 2017
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# ==========================================================================

# -*- coding: utf-8 -*-
# BSD 3-Clause License
#
# Copyright (c) 2017
# All rights reserved.
# Copyright 2022 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
#   list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
#   this list of conditions and the following disclaimer in the documentation
#   and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
#   contributors may be used to endorse or promote products derived from
#   this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# ==========================================================================

// Copyright (c) OpenMMLab. All rights reserved
#include <torch/extension.h>

#include <parrots/compute/aten.hpp>
#include <parrots/extension.hpp>
#include <parrots/foundation/ssattrs.hpp>
using namespace at;
using namespace parrots;

torch::Tensor fused_bias_leakyrelu(const torch::Tensor &input,
                                   const torch::Tensor &bias,
                                   const torch::Tensor &refer, int act,
                                   int grad, float alpha, float scale);

void fused_bias_leakyrelu_parrots(CudaContext &ctx, const SSElement &attr,
                                  const OperatorBase::in_list_t &ins,
                                  OperatorBase::out_list_t &outs) {
  int act, grad;
  float alpha, scale;
  SSAttrs(attr)
      .get<int>("act", act)
      .get<int>("grad", grad)
      .get<float>("alpha", alpha)
      .get<float>("scale", scale)
      .done();
  const auto &input = buildATensor(ctx, ins[0]);
  const auto &bias = buildATensor(ctx, ins[1]);
  const auto &refer = buildATensor(ctx, ins[2]);
  auto out = fused_bias_leakyrelu(input, bias, refer, act, grad, alpha, scale);
  updateDArray(ctx, out, outs[0]);
}

PARROTS_EXTENSION_REGISTER(fused_bias_leakyrelu)
    .attr("act")
    .attr("grad")
    .attr("alpha")
    .attr("scale")
    .input(3)
    .output(1)
    .apply(fused_bias_leakyrelu_parrots)
    .done();
